code: def main():
      L.seed_everything(42)
  
      fabric = L.Fabric()
  
      # Data
      dataset = WikiText2()
      train_dataloader, val_dataloader, _ = get_dataloaders(dataset)
  
      # Model
      model = Transformer(vocab_size=dataset.vocab_size)
  
      # Optimizer
      optimizer = torch.optim.SGD(model.parameters(), lr=0.1)
  
      model, optimizer = fabric.setup(model, optimizer)
      train_dataloader, val_dataloader = fabric.setup_dataloaders(
          train_dataloader, val_dataloader
      )
      train(fabric, model, optimizer, train_dataloader, val_dataloader)
  
file_path: pytorch-lightning/examples/fabric/language_model/train.py
imports: import lightning
  import torch
  import torch.nn.functional
  from lightning.pytorch.demos import Transformer, WikiText2
  from torch.utils.data import DataLoader, random_split
label_desc: Use image node_id 1 for calling a global function with example usage: main() without return types